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You searched for: subject:"Michael Cafarella"
[movies]Microsoft Research Video 103503: Extracting and Managing Structured Web Data - Microsoft Research
Most models of the Web consist of a graph of linked pages, in which each page is a simple unstructured text document. But in fact, Web pages often contain structured data embedded in natural language text, HTML tables, and other forms. (For example, a Web page about cars might contain a small list of car makes, models, and years.) This structured data exists in plain sight for Web users, but is ignored by traditional search engines and other database systems...
Keywords: Microsoft Research; Microsoft Research Video Archive; Matt Richardson; Michael Cafarella
Downloads: 4
[movies]Microsoft Research Video 104668: A Search Engine for Natural Language Applications - Microsoft Research
Many modern natural language-processing applications utilize search engines to locate large numbers of Web documents or to compute statistics over the Web corpus. Yet Web search engines are designed and optimized for simple human queries---they are not well suited to support such applications. As a result, these applications are forced to issue millions of successive queries resulting in unnecessary search engine load and in slow applications with limited scalability.As a replacement, we propose...
Keywords: Microsoft Research; Microsoft Research Video Archive; Matthew Richardson; Michael Cafarella
Downloads: 9
[audio]Microsoft Research Audio 103503: Extracting and Managing Structured Web Data - Microsoft Research
Most models of the Web consist of a graph of linked pages, in which each page is a simple unstructured text document. But in fact, Web pages often contain structured data embedded in natural language text, HTML tables, and other forms. (For example, a Web page about cars might contain a small list of car makes, models, and years.) This structured data exists in plain sight for Web users, but is ignored by traditional search engines and other database systems...
Keywords: Microsoft Research; Microsoft Research Audio MP3 Archive; Matt Richardson; Michael Cafarella
[audio]Microsoft Research Audio 104668: A Search Engine for Natural Language Applications - Microsoft Research
Many modern natural language-processing applications utilize search engines to locate large numbers of Web documents or to compute statistics over the Web corpus. Yet Web search engines are designed and optimized for simple human queries---they are not well suited to support such applications. As a result, these applications are forced to issue millions of successive queries resulting in unnecessary search engine load and in slow applications with limited scalability.As a replacement, we propose...
Keywords: Microsoft Research; Microsoft Research Audio MP3 Archive; Matthew Richardson; Michael Cafarella
Downloads: 2
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